Tag: GithubCopilot

Large Language Models (LLMs) are often marketed as the ultimate productivity boost for developers: “Write code faster! Debug with AI! No more manual work!” After a recent experience, I can confirm that LLMs are incredibly useful for writing and even structuring code (I’ll write about this probably in a later blog post).

But when it comes to debugging, one should make really sure that the tool has access to all the relevant context (and don’t disable your brain). But .. let’s see, what happened:

Since a couple of days (uhm .. nights mostly, after work), I was writing a web application. The copilot-experience was very good and it really helped tremendously. I never really ran into a situation where I had to debug. And I was curious when (if?) I’d run into that – and how things turn out then.

I don’t code much in my day job anymore, but I still love building things. So last weekend, I finaly took the time to test GitHub Copilot’s Agents feature — specifically, a Commit Agent. I’ve seen agents.md and knew the theory, but I wanted the live experience: Could this actually improve my workflow, or was it just another layer of automation hype?

Even when working alone, I sometimes need to revert—and that’s when I really appreciate clean, atomic commits. But let’s be honest: I’m not always disciplined enough to enforce that myself. So I figured, why not seek the help of an agent?